Security Engineer

Details

Help build and improve how automated traffic is identified and managed across web and mobile products. You will engineer detection and classification capabilities that distinguish AI-driven bots, other automation, legitimate bots, people, and unknown traffic, enabling teams to take proportionate action without disrupting genuine customers.

Responsibilities

• Build, test, and tune bot-detection signals and classification logic across web, mobile, APIs, and edge services.
• Improve telemetry used to understand bot activity, working with application and platform teams to close gaps in coverage, data quality, and attribution.
• Maintain detection logic and configuration as production software by versioning changes, validating them against representative traffic, and using staged rollouts and rollback controls.
• Measure detection coverage and quality, including precision, recall, unknown traffic, and false positives affecting customers and legitimate automated services.
• Analyze changes in bot behavior, traffic patterns, and evasion techniques, and turn findings into improved signals and detection tests.
• Build monitoring and reporting that surfaces coverage gaps, material traffic changes, and detection quality for technical and business teams.
• Work with product and service teams to translate detection results into proportionate decisions such as allow, monitor, challenge, restrict, or block.
• Validate changes against business outcomes and customer impact, and continuously improve detection capabilities based on results.

Requirements

• Experience building or operating production software, security systems, or traffic-protection capabilities.
• Strong coding skills in a language such as Python, Go, or Java, with experience testing and maintaining production systems.
• Experience analyzing event or traffic data and developing detection logic, behavioral signals, or classification systems.
• Understanding of web, mobile, API, or edge security and common automated-traffic and abuse patterns.
• Ability to measure detection quality and balance security effectiveness against false positives and customer impact.
• Clear communication skills and the ability to work across security, engineering, data, and product teams.

Helpful Experience

• Bot management, web application firewalls, content delivery networks, or edge security controls.
• Mobile app security signals, client-side challenges, or integration of security SDKs.
• Statistical or machine-learning methods for classification, anomaly detection, or behavioral analytics.
• Experiment design, traffic analysis, dashboards, or security reporting.
• Abuse prevention, fraud detection, threat research, or incident response.